Economic development and multiple air pollutant emissions from the industrial sector

Fujii, Hidemichi; Managi, Shunsuke

doi:10.1007/s11356-015-5523-2

Cited by 79 publications

(33 citation statements)

References 35 publications

(23 reference statements)

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“…In addition, the square term of the GDP per capita has a significant coefficient, with an inverted "U-shaped" relationship between economic development level and overall efficiency score in Central China, and a "U-shaped" in Western China. This diversity among regions has also been confirmed by some scholars [56]. From the results of the regression, it is worth noting that the inverted "U-shaped" curve in central China indicates the existence of a vertex.…”

Section: Transition Pathways From National and Regional Perspectivesupporting

confidence: 71%

Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China

Xiao

Guo

et al. 2018

Sustainability

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The green concept has become one of the key demands of the current era of development in China. As an attempt to cope with climate change and constraints of resources and environment, the industrial green transformation is bound to have a dramatic impact on the whole society. This paper enriches the understanding of industrial green transformation by highlighting its social attributes. Combining a hybrid model with a window analysis, this paper measures the dynamic efficiency of regional industrial green transformation in China from 2006 to 2015. In general,

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Section: Transition Pathways From National and Regional Perspectivesupporting

confidence: 71%

Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China

Xiao

Guo

et al. 2018

Sustainability

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“…For estimation purpose, we will be using the following system of equations: emissions in case of developing nations (Fujii and Managi, 2016;Ibrahim and Law, 2016).…”

Section: Empirical Modelling and Datamentioning

confidence: 99%

Impact of corruption in public sector on environmental quality: Implications for sustainability in BRICS and next 11 countries

Sinha¹,

Gupta

Shahbaz

et al. 2019

Journal of Cleaner Production

174

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This study investigates the impact of corruption in public sector on carbon emissions in presence of energy use segregation, following the Environmental Kuznets Curve (EKC) framework. The study has been carried out for Brazil-Russia-India-China-South Africa (BRICS) and Next 11 countries over the period of 1990-2017. Along with the finding of inverted N-shaped EKC for both the cases, we find that incidents of corruption enhance environmental degradation by reducing the positive impact of renewable energy consumption on environmental quality, and increasing the negative impact of fossil fuel consumption. This study has also divulged that the corruptive practices are more prone in case of the countries, where the development is mature and institutionalization is more stringent. Based on these findings, we suggest that environmental policies should take account of the corruption, and thereby, making the policies more robust and effective.

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“…According to country level data analysis between pollution and economic development, sector composition change is the key factor to achieve emission reduction with economic growth (Fujii and Managi, 2016). Thus, this study considers that sectoral composition change is also important for urban areas to reduce CO2 emissions.…”

Section: Introductionmentioning

confidence: 99%

An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas

et al. 2018

Self Cite

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This study analyzed the relationship between urban CO2 emissions and economic growth applying the environmental Kuznets curve hypothesis. The objective of this study is to investigate how urban CO2 emissions and their composition have changed with urban economic growth, depending on city characteristics, using a dataset of metropolitan areas. We obtained data for 276 cities in 26 countries for the years 2000, 2005, and 2008. The dataset includes urban CO2 emissions, GDP, and population. Additionally, data regarding compact city variables are applied to determinants analysis using an econometric approach. The results demonstrate an inverted U-shape relationship between urban CO2 emissions and urban economic growth. Additionally, an inverted U-shape relationship is observed for the transport and residential & industry sectors. However, the turning points of each inverted U-shape curve varies. This result implies that we can better understand urban policies for reducing urban CO2 emissions by considering the characteristics of each sector.

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Economic development and multiple air pollutant emissions from the industrial sector

Cited by 79 publications

References 35 publications

Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China

Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China

Impact of corruption in public sector on environmental quality: Implications for sustainability in BRICS and next 11 countries

An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas

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